from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.ods.mysql.adjudication_delete_record import jms_ods__adjudication_delete_record


jms_dwd__dwd_adjudication_delete_record_base_dt = SparkSqlOperator(
    task_id='jms_dwd__dwd_adjudication_delete_record_base_dt',
    email=['rabie.zhuang@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dwd__dwd_adjudication_delete_record_base_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dwd/dwd_adjudication_delete_record_base_dt/execute.sql',
    pool_slots=1,
    executor_cores=2,
    executor_memory='3G',
    driver_memory='2G',
    num_executors=3,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.maxExecutors': 5,
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',
          'spark.dynamicallocation.enabled': 'true',
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,
          'spark.shuffle.service.enabled': 'true',
          'spark.sql.shuffle.partitions': 1
          },
    # hiveconf={'hive.exec.dynamic.partition': 'true',
    #           'hive.exec.dynamic.partition.mode': 'nonstrict',
    #           'hive.exec.max.dynamic.partitions.pernode': 20,
    #           'hive.exec.max.dynamic.partitions': 20
    #           },
    yarn_queue='pro',
    execution_timeout=timedelta(minutes=60),
)

jms_dwd__dwd_adjudication_delete_record_base_dt << [
    jms_ods__adjudication_delete_record
]


